Research map / Label-efficient and robust learning / Semi-supervised learning
MixMatch: A Holistic Approach to Semi-Supervised Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| average predictions over K=2 augmentations instead of K=1 (ablation) | MixMatch · CIFAR-10 250 labels | error rate: 17.09 -> 11.80 | Helped |
| add temperature sharpening (ablation) | MixMatch · CIFAR-10 250 labels | error rate: 27.83 -> 11.80 | Helped |
| add MixUp (ablation) | MixMatch · CIFAR-10 250 labels | error rate: 39.11 -> 11.80 | Helped |
| MixUp on unlabeled data in addition to labeled (ablation) | MixMatch · CIFAR-10 250 labels | error rate: 32.16 -> 11.80 | Helped |
| mix across labeled and unlabeled examples (ablation) | MixMatch · CIFAR-10 4000 labels | error rate: 6.50 -> 6.00 | Helped |
| use parameter EMA for label guessing (ablation) | MixMatch · CIFAR-10 4000 labels | error rate: 6.00 -> 6.47 | Hurt |
| increase K from 2 to 3 or 4 (ablation) | MixMatch · CIFAR-10 | error rate: 250: 11.80 -> 11.55 (K=3), 12.45 (K=4) | Mixed |
| MixMatch vs best prior SSL method | WRN-28 · CIFAR-10 250 labels | error rate: 36.03 -> 11.08 | Helped |
| use extra unlabeled SVHN data | MixMatch · SVHN 250 labels | error rate: 3.78 -> 2.22 | Helped |
| MixMatch student in PATE vs VAT | PATE · SVHN | privacy loss epsilon: 4.96 -> 0.97 | Helped |
Closest papers by meaning
- RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning (AAAI 2025 · similarity 0.88)
- Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data (AAAI 2024 · similarity 0.86)
- OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning (NeurIPS 2024 · similarity 0.85)
- Semi-Supervised Online Cross-Modal Hashing (AAAI 2025 · similarity 0.85)
- BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning (CVPR 2024 · similarity 0.85)
- Enhancing Learning with Label Differential Privacy by Vector Approximation (ICLR 2025 · similarity 0.85)
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